SARIMA Predictor

Based on a trained SARIMA model given at the model input port of this node, the forecasts values are computed.

Options

Reverse Log: Check this box if you applied the log transform inside the SARIMA Forecaster node while training your model. It will reverse the transform before generating forecasts.
Generate in-samples dynamically: Check this box to use in-sample prediction as lagged values. Otherwise use true values.
Forecast: Forecasts of the given time series h period ahead of the training data.

SARIMA Predictor settings to configure the forecasts generated by the input model.

Reverse Log: Check this box if you applied the log transform inside the SARIMA Forecaster node while training your model. It will reverse the transform before generating forecasts.
Forecast: Forecasts of the given time series h period ahead of the training data.
Generate in-samples dynamically: Check this box to use in-sample prediction as lagged values. Otherwise use true values.

: Table containing forecasts for the configured column, the first value will be one timestamp ahead of the final training value used.

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To use this node in KNIME, install the extension Time Series Extension from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 1.0.0.202403181002

On NodePit since: 2023-12-06

Last update: 2024-05-01

KNIME versions: Since v5.2

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